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A system and method for processing images and classifying processed images for digital pathology

机译:一种用于数字病理学的图像处理和分类处理图像的系统和方法

摘要

Is a step of receiving a target image corresponding to a target sample;Target sampleComprising a patient tissue sampleAndApplying machine learning models to target imagesIs a step of determining at least one characteristic of the target sample and / or at least one characteristic of the target image;Machine learning modelsHandle multiple training images andIt is generated by predicting at least one characteristic andTraining imageComprising images of human tissue and / or algorithmically generated imagesAndA system and method for outputting at least one characteristic of a target sample and / or outputting at least one characteristic of a target imageIt is disclosed.
机译:是接收对应于目标样本的目标图像的步骤;目标样本包括患者组织样本,并将机器学习模型应用于目标图像是确定目标样本的至少一个特征和/或目标图像的至少一个特征的步骤;机器学习模型通过预测至少一个特征和训练图像来生成多个训练图像,训练图像包括人体组织的图像和/或算法生成的图像。本发明公开了一种用于输出目标样本的至少一个特征和/或输出目标图像的至少一个特征的系统和方法。

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